Students' Age at which EFL is Introduced in Schools and Educational 0utcomes
Chuzairnah
Dnhlnn
DiemLanguage Educstion Studt- Progrum PPS-UNSRI
Abstract: This study tries to see the relationslip between the age at which EFL is introduced in public schools and educatioml processes and outcomes. A survey iuvolving 229 students frorn elementary and
junior high schools in Palernbang is conducted. The population con- sists of those who have never taken extra nou-fonrnl English courses.
These students are given the same English tests comprising mostly vocabulary and reading comprehension follorved by a srnall portion of grammar. It is hlpothesized that those rvho slart leaming English ear-
lier have better achievernent. Curriculum. intensity
of
instruction.teacher education level, years of ELT e.rperience are considered in the analysis, in addition to class size, sludents' SES and gender. Stepwise regression analysis is applied to identify which variable contributes to students' outcomes. The results shorv thcre is no correlation between age alone and the studelts' EFL achievcnre nt. Holvever, negati.,ze sig- nificant correlation is found betlvceu the sftrdents' achievernent and teacher education level and also between tho students' achievernent and SES. Finally, some irnplications of research for theory, poliry, and practice are suggested.
Key words: age" EFL leanilng. elementary school. -iunior lfgh school, teacher education level
Many researchers in applied linguisiics assert that tirere is a relation- ship between age of language learners and their achievement. However, whether or not the relationship is significant and horv significant the con- tribution is, now, in relation to the policy of the government of Indonesia
12
Diem, Stndent,s'Aga al v'ltich EI'-L i.s lnlroduct:d in Schools 43
tlrat offers English. as a local content, beginning frorn the fourth grade in srrme elementary schools is r,vhat this study wants to find
out. It
is said that the younger the foreign language leamers are the better chance they would learn the target language, especially in tenns of accent and pronun- r:iation. Older learners (at puberty or older) are faster learnersin
a way compared to children. As older learners are keen in analyzing word for- rrntion and structural pattems, children or yottllger learners are more rno- tivated, very keen in imitating accent and proulttrciation. In addition, this study is also intended to inve5tigate another area, such as students' read- ing comprehension in which the two groups of EFL learners (end of fifth grade vs. endof
eighth grade) tnaybe differcnt in relation to educational processes and learning environment.'TTIEORETICAL BACKGRO UND
Differential success
in
second language acquisition or foreign lan- guagelearning may be
causedby
scveral factors.such as,
age(d'Anglejan, 1990), language aptitude (Mclaughlin, 1990), attitudes and rnotivation (McGoarty, 1996), social-psychological factors (Freeman
&
McElhinny, 1996; Rickford, 1996), personaliti', cognitive stylg, h.m'-
sphere specialization (Larsen-Freer.nan
&
Long.l99l:
153), parents' edu- cation Qakiyah, 2002), learning strategies (ihsan&
Diem, 1997). and cven gender (Freeman&
McElhinny, 1996). The present study mainly tries to focus on one of the factors, that is, age of the learners at rvhich they firstly learn English as a foreign language.ln
temrsof
second lan- guage acquisition or foreign language leaming. learners begin acquiring the language ata
later age than dofirst
language learners.All
children with normal faculties within normal circttmstances master their mother tongue at the age of four but not all older children can acquire a second language or learn a foreign language without strlrggle and without limited success. ln other words, age is one ofthe factors that relates to the degreeof
one's successin
second language acquisitionor
foreign lalguage leaming. Singleton (t999: 218) states that niostif
not ali aspects, includ- ing lexicons, of L2 acquisition, are affected by the age factor. With respect to the development of English literac1,, d'Anglejan ( 1990) found that those of age 6-7 made more rapid progress in Engtish reading that is initiated at that level. This statement supports wirat Krashen et al, (1979), Lightbown44
TEILIN Journal, Volume W, Numbcrl, Fcltnrary 2004and Spada (1994), and Harley et al. (1995) have concluded based on their research that age
is a
significant factor that influences one's learning achievement. They assert that older is faster, but younger is betfer.Following the Critical Period Hypothesis
or
Sensitive Period Hy- pothesis, there is "an age-related point (generally puberty) beyond whichit
becomes difficult or impossible to learn a second language to the samedegree as native speakers (NS)
of
that language" (Gass and Selinker, 200I: 334). However, not all'researchers agree rvith thisview.
Related to this statement, this study is intended to give ntore evidence whether or not that ageis
oneof
the cruciai factors deterrniningor
influencing one's achievement in foreign language (FL) learning. especially in their recep- tive skill, such as reading. Therefore, based on the background above,it
is hypothesized that:o
there is a significant correlation betrveen student's age at which EFL is introducedin
schools, teacher education level, yearsof
EFL teaching, intensity of instmction. students' Socio Economic Status (SES), and their English achievenrent.
if
significant cor- relation among the variables is foLrnd. then some variables must influence the students' ontcornes..
there is a significant difference betrveen the English achievement of the students of the elementary school and that of junior high school in terms of students' age. teacher education level, yearsof
ELT experience of the teachers. intensitl,'of instruction, and stu- dents'SES.METHOI}
The major purpose oithe study is to see rvhether students' age is sta-
tistically related to their English outcomes. Thereforc, data for this study are obtained by using measures designed
for
and usedwith
students at their level. A secondary purpose of the stud1, is to soe whether the additionof
some other factors, especially. teacher education level, yearsof
ELT experience, intensityof
instmction, and students' SES (assuming that class size and student's gender in each levelof
education are somewhat the same), to the prediction rnodel predictirrg EFL achievement variable from age resultsin a
significant increasein
thc explained variation for student achievementin
learningEFL.
Therefore. particular factors asDicn, Sndants'Agtt ttl wlticth IlIi'L i,s Introduc<:d in Schools 45
mentioned above required to obtain the iucrease in explained variation and yct provide a parsimonious model for students' achievement measures are identified. Another purpose of the investigation is to subjectively compare the resulting prediction models for the population comprising two groups of students who started learning English
at l0
and at 13 vears of age. In other words, the 5e graders are at the ageof
Il,
and the 8th graders are at14 as it is generally true that the first graders start at the age of 7.
The population from which the sanrple is drawn for this study con- sists of a selected group of students wlto have leamed English for more or less
2
years both at elementary andjunior
higlr schoolsin
Palembang.Specifically, subjects chosen
fbr
the sample were those who never took any English courses other than those providedin
class at their schools following the curriculum suggested. Prior to the collectionof
data, the principalof
each school was contacted andonly
that. who agreed to her/his school participation was included in the study. Students and their teachers of English at each of those schools lvere asked to respond to the instrument employed, thatis a
setof
Engiish test comprising mostly reading comprehension, vocabulary, and a little bit of grammar to measure the students'English achievement. This test was tried outto
189 fifth graders and eighth graders of several other schools in Palembang and the result shows that the reliability of the test is 78.The reason for including only three components of English in the test is that children leam English language through firstly listening to adults reading stories to them, then reading by thernselves, followed by vocabu- lary development and not too much of grarnrnar (Read also Dixon-Krauss, 2001). According to Cooper (1988) it is fi"orn oral language that students develop their ability to use the rvritten svmbols in reading. Oral language
is
clearly the foundation on whichall
readingis
built. Why not much grammar? Halliwell (L992) saicl that at the priniary school level the chil- dren's capacrty for conscious leaming of fbnns and grammatical pafterns is still relatively undeveloped.Assuming that such variables as class size (nrore or less 40 students
in
each class) and gender are sornervhat similarfor
both groups except age, then the same test was. givento
both groupsin
orderto find
out whether difference in age would resultin
different outcomes. However, since the qualityof
students may also vary based on the qualityof
the46
TEFLIN Journal, Volume '\7, Numbarl, l'ebruaty 2004schools and the background
of
the students might make a difference in students' outcomes, then the curriculunl. teacher education level, yearsof
English language teaching experience, intensity
of
instruction, and the students'SES are certainly identified through the school records, teachers themselves, and site visit to the schools and are included in the model and considered qualitatively or quantitatively in the analysis.In relation to the educationai processes the fbilowing terms need ex- planation.
(a)
The curriculum. To teach the students English as a foreign lan- guage at the elementary sciroois, the teachers use the curriculum of the Deparfinent of National Educatton (1996) designed as the local content. But at thejunior
lugh school the curriculum isformally designed
for
EFL asa
compulsory subject which is subject to be tested at the National Final Examination.(b)
Intensityof
instruction.At
the elenrentary level. English is taught two hours a weck lr,hile at the junior high school.it
is taught4hoursaweek.(c)
Teacher education la,el. The teachers involved in teaching the sample studentsof
thejunior
high school areall
permanent teachersand
have becomepublic
servants. These teachers graduated fronr D2 Progranr.Dl
PGSM Program. and S1 PGSM Program. Meanwhile, fbr the elententary school, noneof
themare permanent tcachers. Instead, the1, are either student teachers from sixth-semester
of
SI
progranr rviro take tums teaciring at the school as volunteet'teachers every senlester or a part-time S1graduate teacher.
(d)
Years ofELT
experience.All
thc sixth-semester-student teach- ers teaching at the elementary school have only six month-EFl teaching-experience(i.e.
r,vhen they havctheir EYL
subject practicum) while one of them has onc and a half year teaching experience.(e)
Class size.At
the elementary sch,rol,3
classes were involved andthe range of the students in eacir class is betrveen 35 and 45 the junior high school there are also three classes involved in the study and the size of each class is around 36 to 40.In terms of the background of the students. the follorving information
I)ienr, Studcnts',49c ul vhic:lt Ll,L i,s lrrlroduccd in School.s 4'l
can be presented.
(a)
Socio-Economic-St stu s.From the elementary schools. there are
7
(6.03%) farmers, 49(42.24%) blue-collar rvorkers. (10 34%)
public
servants, 17(14.66%) smalltraders.
l9
(l6.3fl%) private soctor rvorkers. andI2
(10.34%) drivers. Fronr the lunior high school, there are 4 (3.53o/") soldiers, 7 (6.2%) public seryarlts.6 (5.31%) car driv-ers, 24 (21 .24%) bricklayers,
3I
(27 .43%) servants, IZ (10 .62%\pedicab drivers, and 29 (25 .66%) r.nerclrants.
(b)
Gender-There are 103 males (57 elementary school students;46
junior
high school students), 126 fernales (59 elementary school students and 67junior high school students)To assess the relations among the variables.
all of
the quantitative data are u:a,ly zed using Pearsou-p roduct-monrent correlation coeffi cient analysis followed by stepwise rnultiple regression analyses, and the hy- potheses are tested applying associatcd F-statistics r.rsing an alpha levelof
"05
if
significant correiations arefound.
And to see the mean difference between the two groups of thc students ANOVA is used.RESI]LTS
In
reporting the resultsof
tlre studr,. the discussion is divided into sections describing the hypothesized frndings artd a summary of the actual findings. However. before discussing the specific rcsults obtained from the testing of the hypotheses and summarizing the findings, the following descriptive information is presentcd.Summaries of santple si7cs, metns, und standord lcviations of the variables Table 1. Summaries of Students' Achievement Bascd on Students' Age
Variable Frequency Nlenn Strrndartl Deviation
ll
years14 years
It6
I 13
44.89 44.',I3
t -s.07 8.87
48
WFLIN Journal, Volume W, Numb<:rl, licbnmr.v 2001Table 2. Summaries of Student Achievement Based on Teacher-Education l.evel
T's teaching ex- Siandnrd Devintion
6 months l8 months 120 months 144 months 180 rnonths
Blue-color workers Farmers
Pedicab riden Soldiers Servants Bricklayers Public servants Businessmen Drivers
Private sector workers Small traders
53 86 31.24 44.3 3 46. t6 43.21
9.51 I t.24
8.54 e.58 ft.05
r.^.-,t^.-l n^-,:^.i^-
6.31 3. l5 7.69 12.6t 8.93 ( 20 I l.0t 9.fi6 t3. 14
I 0.56 t0.64 Table 4. Summaries of Students' Achicvenrcnt Basod on Stutlcnts' SES
Students's SES
5 6.61
55.46 50.75 45.76 45.42 44.71) 43.95 43.-14 33.{)( )
32.00 3 r l2 No. Educational Out-
comes
fdur:ntion Levcl
of the Teachers l!{can Std. Devlatlon I Total EFL
Achievement
D2 6e.semester
SI
44.33 -50.65 .36.95
8.54 t0.24 I1.49 2 Vocabulary
Achievernent
D2 6ft semester
SI
74,95 27.19 20.45
5.26 5. l3 6.32 3. Reading Compre-
hension Achievement
t>2 6fr semestsr
St
13.86 17. I ti 11 42
2.24 4.60 4.50 4. Grammar
Achievernent
D2 6dtsentester
SI
5.52 6.28 5.08
3.46 t.62 2.57
Table 3. Summaries of Students' Achievemcnt Bascd on Tcrcher's ELT Experience
49 7 t2 4 3t
l9
29 t8 i9 t7
Dient, Shtdents'Age al v'hic'lt l:l''L is Irrtt'oduced in Schools 49
Table 5. Summaries of Students' Achievemcnt Basctl un Students' Gender
Student's gender Frequency l\'lcan Standard Deviation
Male Female
103 126
45 70 44.08
12.16 12.56
Pearson hodud Mon ent Conelation Coeflicient of the Vafiublcs
Table 6. Pearson Product Moment Corrclation Cocflicients of the Variables Measured
Variables (lorlelrtion p<
Student Achievement Studeut SES
T---l---ri-- .l-, r----1
rcauilct ltuuuitu(lt ltrlcl
-"192 - 44?
.004
.{J0{.)
Table
7,
Pearson Product Moment Correlation Cocfficients of the Sub-Variables MeasuredVariables
049 000 NS
Mean Dffirences of Students' Achievenrcnl
Table 8, Mean Difference of Studcnt Achieyemcnt Birscd on Teache r-Education l-rvel Lur[patNufl ot I cuuil(f
Education Level Mean Dlll'ertncc Std. Eu'or Lcvel of Slgnificance
Sl and D2
Sl and 6ft Semester D2 and 6ft Semester
7.3rJ 13.7r)
6.32
2.58 1.49 2.51
p<0.01 p<0.u00
p<0.03 p<
TEFLIN Joumal, Volume XV, Nunberl, l'ebnn4t 2004
Table 9. Means of Students' Achievement Bascd on Students' SES
Students' SES Mean of Total Achievenrents
I\{ean of Rending
l\,lran of Vo- cabulary
Mean of Gram- illar Farmers
Blue-collar workers Public servants Small traders Private sectors Drivers Soldiers Bricklayers Servants Pedicab riders Businessmen
55.43 56.63 43.95 3t.12 32.12 33.00 45.76 44.79 45.42 5A.75 43.34
t0.00 t9.84 t4.26 8.-53 9.86 0.50 5.75
,t .96 4.84 6.'75 -\.1)/.
28.43 29.92 2,3.84 18.59 17.2t
1 7.83
24.25 24 79 25.10 2'7.25 24.4t
7.40 6.88 5.84 4.00 4.95 4.67 5.75 6.04 5.48 6.',t5 5.31
Table 10. Mean Difference of Studcnts' Achig,e'mcnt bared on Students' SES Comparison of Studen( Achicvtlrrenl
Bascd on thoir SES NIcan l)ilTcrerrce Level of Sig- nificance
Farmers Traders
Private scctor workers Private Ihivers
24.31 23.43 22 41
.000 .000 .000 Blue-collar workers Public servants
Srnall traders Private sector r.vorkers Private l)rivers Bricklayers ServarrLs Ilusinessnrerr
12.43 25.52 l4.t).1
2 3.63 I 1.84 1t.2t t3 29
.000 .000 .000 000 .000
t lf)r'l 000 Public servants Traders
Private sector workers Drivers
12 l{3 I 1.95 I 0.95
.001 .002 .01 I
Traders Brickiayers
Servants Pedicab drivers 13usiuessrnerr
l-1.67 t 4.30 19.63 t2.23
.000 000 .000 .00 t Private sectors Bricklayers
Servants Pedicab drivers Businessnreu
2.79 'J.42 8.75 1.34
.000 .000 .000 .00 i
Private Drivers Bricklayers ServaDts Pedicnb drivers Businessnrert
1.79 2.42 7.75 0.34
.oa2 .0t|0 .000 .007
Dienr, Strtdents'Age al v'lticlt ]')l7l' is lnlroduccd fu School,s 5l
S ummaics of D ep e n dent Vafi a b Ie s fr o rrl I n de p e rt d e nt Va r i a b I e s
Table 11. Summary Statistics for Predicting Students' EFL Achievement Variable from Age, Teacher Edttcation Levcl, Teachcr ELT Expcrience' and Stu- dents' SES
Model Independent Varfuble I)epcndent
Vnria ble R rt2 F P<
I Teacher
Level
Education
A C FI
I
E
E M E N
T'
.448 201 57.106 000
t Student SES 192 037 8.682 .004
2 Teacher Education level +
Student SES
.52? It-t 42.401) ,000
z Teacher Education level +
Student SES + ELT Experience
6t'7 .38 t 46 088 000
2 Teacher Education level + ELT Experience +
Ase
.642 4tz 52.466 .000
2 Teacher Education level + Students' SES + ELT Experietce +
Ase
644 .415 39.704 000
Based on the analysis.
it
is fbund lhat there is no statistical correla- tion between age and students' EFL achievenlerlt althoughin
termsof
means, the total achievement of thosc who stafi earlier in EFL leaming is a little bit higher (Mean
:
44.89'. SD=
l-5.07) tlran tliat of older leamers(Mean:44,73;
SD = 8.87). SeeTable 1. There is also no significantre- lationship betweenthe
teacher'sELT
experience and students' EFL achievement.Hcwever, there is a negative significant corrolatiotl botween teacher- education level and their students' total achievoment (R
:
-.448; p<0.01).Judging from the means obtained
by
the trvo groupsof
students,it
isfound that there is
a
differencein
termsof
the three levelsof
teacher- edugationin
relation to the total achievemenl of the students (See Table7).
There is also a significant correlation bettveen students' achievement52
T'EFLIN JounraL VolumcXV, Nruttbcrl, P-ebruory 2004in each component of EFL and their teacher education level. For example, there is a significant correlation between: vocabulary and teacher educa- tion (R =
-
443: p<0.01), reading conrprehcnsion and teacher education (R=
-.434; p<0.01), and gramrpar and teacher education level(R =
-.199:p<0.01).
Furthermore,it is
interestingto
note that students, who are taught by the sixth-semester-student teachers got the highest mean (Mean=
50.65;SD:
10.24) compaiecl to thosc rvho are taught by Sl-graduate teachers (Mean = 36.95, SD=
I 1.49) in their total achievement.It
is more shocking that those who are tar.rghtby
D2-graduate teachers (Mean = 44.33: SD = 8.54) are even beftor than tirose rvho are taught bySi
gradu- ates. In details judging frorn the language colltpollents, such as vocabu- lary, reading comprehension. and grarnurar, those who are taught by the sixth-semester-student teachers are bstter (Mean:
27.19,SD :
5.13'Mean
=
17.18, SD = 4"60: Mean= 62tt.
SD=
1.62) than thoseof
D2 graduate teachers (Mean:24.95.
SD = 5.2(r: McAn=
l3.tt6, SD = 2.24.Mean
:
5.52, SD=
3.461) rvhichis
reasonable. but they are better than those whose teachers areSl
graduates (Mean:20.45.
SD = 6.32; Mean :11.42, SD = 4.50; Mean:
5.08, SD:
2.57)" rvhich needs further expla- nation.Basedon the means above,
it
is found that fhcrc is a statistically sig- nificant differenceof
the studeuts' achievernents (elementary school vs.junior high school) as secn from their teacher education level. For exam- ple the difference between those r.vho are tar:ght bv s
I
graduate teachers and D2 graduate teacliers is 7.38(p.0.0i);
the cliffcrence between ihose who are taught by SI
graduate teachers and sernester-sixth-student teach- ersis
13.70 (p<0.001); and the difference beru,een those who are taughtby D2
graduate teachers and sernester-sixth-student teachersis
6.32(p<0 03). See Tabie 8
Furthermore, based on Table 7.
it
can be secn that there rs also a negative significant correlation betrveen students' sES and their achieve- ment (R:
-.192, p<0.004). Based on tlrc strrdcnt SES of both lcvels of the schools,it
is found that childrenof
blue collar u'orkers are on the first rank in the achievernent folloived b1' childrcn of fairriers, pedicab riclers, soldiers, servants, bricklayers, public servants. businessmen, private sector workers, drivers, and small tmders.A
sumrnary for the statistics for pre- dicting their EFL achievement fronr teaclrer eclucation level only and stu-Diem, Sn:dctt.s'Agc at vlrich lil;'1, i,s lntrorluctd in School.s 53
dent SES only, and or'plus age and teacher ELT experience can be seen in 'fable
ll.
From tablel,
it has been kuou,n that there rs no statistical cor*relation between age only and students' EFL acltievement (R
=
-.007: F099;p<A.921). However. teacher educatiott level alone and SES alone has
significant correlation
with
student achieverttent.R :
.448, R2=
.201,p<.000 and
R =
-.192,R2=
.037. p<004 rcspectively. When these two factors are combined, then the correlation incrcased into R=
.,552, R2 =273,p<.000. After that, when ELT cxperience is added to these trvo fac- tors. the correlation increases into R
=
.611. R2= .3ttl. p..000.
Finally rvhen these three factors arc conrbined u'ith age. thcrc is a little increase in explained variation in the achicverrentof
thc studcnts.M :
.644, R2 =415, p<.000.
UISL USJIL'I\
Since the students come
frotl
difl-erent ieve ls of education (Elemen- tary Education vs. Junior Higlr Schooi Eclucation). otte rvould expect that there would be a difference in achievelneltt of the students itt terms of age(ll
vs. 14, inwhich older studerlts ntust ltavc been bcttcr) at rvhich Eng- lish is introduced, intensity of instruction (2 ltottrs vs. 4 hours), curriculum (local content which focuseson only
vocabtrlary and oral reading vs.compulsory subject which focuses ott the fbur skills
of
English including vocalrulary and grammar). But the flrct shotvs. tto correlations found be- tween age and those variables. This nrav be cattsed by the heterogcneity in age of thetwo
groupsof
the students. that is" onlv age II
and age 14.However, having no difference itr achievctrtcrtt l:ctrvcetr those u'ho start earlier but with less hours and tirosc u'ho start later btrt rvith more hours
of
time spent learning. suggests has short'ed that thc !'ollnger the students start leaming a foreign language. the better the achievenrent r.vill be.Then, the negative significant correlatiott bctu'een tcacher education level and the English achievetrtent
of
thc strtdettts needs explanation.If
cducation reflects the quality of tlte tcacher. tlrsn ifs correlation and influ- ence on the success of the children should be positive. The plausible rea- son for this is probably that thelc arr; t\\'o t1'pes of teachers-those who are permanent teachers and tvho have beett teaching for quite a long time and those who are still students in the sixth selnestsr of
Sl
program lvho only have ELT experience for lltore or less (r montlrs. Therefore. there is a{
54
'I'EItl,lN Journal, tr/olunrc X'V, Nilnlterl, Ibbruary 2001possibility that older teachers are sornewhat "wam out" so that they are not creative any more and not \,vell-prepared when teaching. They may not keep up with the new development in therr field either, especially in the new methods and techniques of TEFL. Meanwhile, the younger teachers are those who are still fresh and are still ven, eager to apply new methods and techniques they have
just
leamedfrorl EYL
class and use various materials and visual aids to n-rake their teachirrg and leaming process more interesting. This means that having higher lcvel of education and having more years in ELT experience do not necessarily result in skilled teachers and evenfuaiiy successfui learnersif
tire teacirers do nor brush up their knowledge and skills in their field.The same is true for the rnean differencc alltong the students' achie- vement based on their SES. It scenrs that those rvho coure from the lower class got higher achievement than those rvho are in the middle class status (See Tables 9 and l0).
Based on the discussion above, it can be conclr-rded that
(l)
children who start earlier in EFL Ieaming is better in EFL achievement than older learners. This is in line with Krashen. et al."s finding that age is a signifi- cant factor to consider irr one's EFL leaming: (2) success in ELT cannot only be judged by the teacher educatiorr levcl and vears of teaching expe- rience but also fron-r the actual processof
teaching and lcamingin
the classroom, that is the motivation and creativity of tlre teaclrcrs themselves in teaching; (3) succcss of thc students in EFL lclrniug, on the otlrer hand, is not merely determinecl by ttre atflueuceoi
their parcnis. When the stu- dents are treated equally and r,vith the teacher's enthusiasrn in the teach- ing-learning process, this rnight rnake a morc significant differencc in stu- dents' achievement.IMPLICATIONS FOR THEORY, POLICY, AND/OR PRACTICE
The results of the prescnt
studl rvill
have sorre inrplications to the theory, policy, and practice of the English language reaching (ELT) in In- donesia.At
least,it
v,'ill be rrsedts
a recou.ullondaticn to the Department of National Education of horv to deal rvith the ELT programs in Indone- sian scliools. In terms of the theoryof
English language teaching (ELT), the findings of this study, mn give nrore support to the theory of English language teachingin
tliat the early age serves asa
decisive factor that[.)iam, Stttdcttt,s'Agtt rtl t'lticlt ]il'l' is lttln>dur:ed in Schools 55
makes the foreign lalguage learnilg successtll. Ip other words, elemen- tary pupils are bitter sicond lauguage lcquirers or fbreign language learn-
*r,
"on,lpur.dto
the older learners.In
tcrmsof
tlte policyof ELT.
the findingsof
this study can be used asa
ne\\/ cortsiderationto
make the Englisi subjeet that has been tar-rght to thc forrrth graders compulsory and/ol.
!rr.n
makeit
exposed studentstionr
thefirst
gradeof
ElementarySchools. This means that
it
shoulcl bc oflicial15' stated in the national cur- riculum as a compulsory subject. Altirogghin
gcneral the analysis doesnot prove significint diflcrence of tlre achieverlrerlt of.both groups of the students,
stiu in
termsof
reading cornprchettsiott. 5'h graders (mean =l4j})
are better than 8'h graders (mcan=
14.30) r'vith anF =
39.715,p<01. Also in terms of granlmar, although therc is no significant differ-
ince
but the mean scor; ob1oiled b,, the 5'r' graders (mean=
5.75) ishigher than that of the 8'h graders (mcan = 5.58). Therefore. this study can .n"hun"* the more intense practice of English at scltools and among chil- dren. In addition, it is advisabt. go, the teachers of English to alrvays keep up with the new developments
of
ELT by participating ip workshops or serninars. However. in order to obtaill rttore plattsibie results, further re- search must be done by including urore schools (private and state schools) andall
thefour skills-l-istening,
Speaking. Rcading. and Writing and adding Grammar, Vocabulary and Phonolog), to then-r. The researclr may dealii
Topics, Functio's, a,rd Notions. dcscribing languagein
termsof
how
it
is used in conurunicatiotr rathcr than sceing it as a linguistic sys- tem or a set of skills.REFERENCES
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